Abstract: According to some embodiments, a method and an apparatus of enriching search results with metadata are provided to receive a plurality of metadata associated with an entity and storing the plurality of metadata in a repository. A search request associated with the entity is received and search results that comprise a portion of the plurality of metadata stored in the repository are determined.

Abstract: According to some embodiments, a method and an apparatus of enriching search results with metadata are provided to receive a plurality of metadata associated with an entity and storing the plurality of metadata in a repository. A search request associated with the entity is received and search results that comprise a portion of the plurality of metadata stored in the repository are determined.

Abstract: A computer implemented method and a content determination and targeting system (CDTS) dynamically target time, event and inventory based, location-specific, and behavior relevant content and services to users in an omnichannel environment. The CDTS identifies target users using user characteristic information, item information, and event information received from information sources. The CDTS determines a target item based on each item's item relevancy score and item relevancy priority generated based on an analysis of the user characteristic information, the item information, the event information, user intent dimensions, user interest dimensions, and global interest dimensions.

Abstract: According to some embodiments, a method and an apparatus of enriching search results with metadata are provided to receive a plurality of metadata associated with an entity and storing the plurality of metadata in a repository. A search request associated with the entity is received and search results that comprise a portion of the plurality of metadata stored in the repository are determined.

Abstract: Various embodiments of systems and methods for evaluating a trust value for a report are disclosed herein. The method includes obtaining one or more reports by the computer, where the reports are formed of one or more fields of data. An end-to-end lineage for the data is determined to trace the data back to the data source system from which the data had originated initially. Further, the method includes validating each of the multiple data source systems including intermediate tables, and determining a data quality score for each of the multiple data source systems. A trust value for the report is calculated based on the data quality scores for the one or more data source systems and intermediate tables, and rendered along with the report.

Abstract: In one embodiment, the method includes profiling a data file comprising one or more fields of data. The one or more fields of data contain an item of data; that is, a character, or group of characters that are related. Further, the method includes generating one or more profiling attributes based on profiling the data file. In an example, the one or more profiling attributes refer to profiling information relating to pattern, structure, content and format of data. Further, the method includes selecting at least one of the generated one or more profiling attributes and generating a validation rule based on the selected at least one profiling attribute.

Abstract: Various embodiments of systems and methods for evaluating a trust value for a report are disclosed herein. The method includes obtaining (110) one or more reports 270 by the computer 260, where the reports 270 are formed of one or more fields of data. An end-to-end lineage for the data is determined to trace the data back to the data source system 210, 211, and/or 212 from which the data had originated initially. Further, the method includes validating each of the multiple data source systems 210, 211, and 212 including intermediate tables, and determining (130) a data quality score for each of the multiple data source systems 210, 211, and 212. A trust value for the report 270 is calculated (140) based on the data quality scores for the one or more data source systems 210, 211, and 212 and intermediate tables, and rendered along with the report.

Abstract: A computer readable storage medium includes executable instructions to list flattened single source object relationships in a first segment of a multiple source relationship table. Same-as multiple source object relationships are calculated. Same-as multiple source object relationships are then populated in a second segment of the multiple source relationship table.

Abstract: A computer readable storage medium includes executable instructions to receive a data hierarchy. Data relationships across multiple data sources are specified. Multiple source object relationships are identified. The multiple source object relationships are assessed.

Abstract: A computer readable storage medium includes executable instructions to list flattened single source object relationships in a first segment of a multiple source relationship table. Same-as multiple source object relationships are calculated. Same-as multiple source object relationships are then populated in a second segment of the multiple source relationship table.